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Dear Candidate
Looking for Telecom Advance Support Engineer (PSO)
If this opportunity hits you Kindly revert.
Job Description:
3+ years’ experience working as a support engineer / Network Engineer /deployment Engineer/ Solutions Engineer/integration Engineer in the telecom deployment industry.
■ BE/ B.Sc. in CS, EE, Telecommunications graduate with honors from an elite university – (70%- 90% depending on the colleges. Delhi university a plus).
■ Telecom Knowledge (IMS, 4G) - Mandatory.
■ Linux OS, SQL knowledge – Mandatory. Vertica DB, scripting - a plus.
■ Open stack / Cloud based infrastructure (OpenStack/Kubernetes), knowledge is a plus
■ Be available to work off business hours to address critical matters/situations based on Radcom’s on-call support model
■ Willing to work in evening and night shifts and Weekend.
■ Fluent English – Mandatory
■ Valid passport
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■ Based in RADCOM India offices, Delhi, India.
■ Responsible for all the technical support aspects required by the client for RADCOM’s solutions, including integration, deployment, and customization of applications; and KPI reports for individual customer needs.
■ Support and deployment of Radcom’s solution at cloud-based customer environments (case to case basis)
■ Having very good customer interaction interface and able to drive customer calls independently.
■ Able to drive and deliver internal customer small project - end to end handling along with taking care of all internal required communications.
■ Working closely with the management on customer updates and future plan
■ Daily maintenance and problem resolution, System patches and software upgrades, and routine system configuration
■ Identifies, diagnoses, and resolves issues related to System with good troubleshooting and root cause finding.
■ If required: travel to on-site support outside India, training, installation, and configuration, etc
Thanks & Regards
Shreya Tiwari
Technical Recruiter - HR
RADCOM
Python
Amazon Web Services (AWS)You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.
This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.
What You'll Do
Model Deployment & Optimization
• Lead end-to-end deployments of large language models on AWS infrastructure for strategic
customers
• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI
• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure
configuration
• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,
Inferentia)
Infrastructure Architecture & Performance
• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed
training frameworks
• Implement CUDA-level optimizations and custom kernels for improved model performance
• Design storage and networking architectures optimized for high-throughput ML workloads
• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level
Customer Engagement & Technical Leadership
• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model
requirements and deployment constraints
• Provide technical guidance on model selection, fine-tuning strategies, and production best practices
• Conduct performance benchmarking and cost optimization analysis for ML workloads
• Share field insights with AWS product teams to influence infrastructure and service roadmaps
What We're Looking For
Core Qualifications
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or
PhD preferred)
• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization
Technical Expertise (High-Level Alignment)
• Hands-on experience training, fine-tuning, or deploying large language models in production
• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques
• Experience with distributed training frameworks and multi-GPU/multi-node orchestration
• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking
Preferred Experience
• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML
platforms
• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,
Inferentia)
• Experience with model compression techniques (quantization, pruning, distillation)
• Knowledge of MLOps practices, model monitoring, and production ML system design
• Background in high-performance computing, distributed systems, or systems programming
Essential Attributes
• Ability to dive deep into technical problems and debug complex infrastructure issues
• Strong analytical skills with data-driven approach to optimization
• Excellent communication skills to explain complex technical concepts to diverse audiences
• Comfortable working in ambiguous, fast-paced environments with evolving requirements
• Ownership mindset with ability to drive projects from architecture to production
Qualifications
Freight Brokerage and Brokerage skills
Customer Service and logistics Management skills
Excellent communication and negotiation skills
Ability to work in a fast-paced environment
detail-oriented and organized
Strong problem-solving skills
Experience in the logistics and transportation industry is a plus
Generating leads, attracting new prospects, and developing a sales pipeline.
Identifying and selecting reputable and safe freight carriers.
Providing shipping quotes to customers.
Booking orders with carriers.
Assisting in the preparation of carriers for loads.
Monitoring the status of loads.
Working with shippers, carriers, and dispatchers to coordinate.
Scheduled pickups and drop-offs.
Maintaining accurate records of pertinent activities.
Informing customers about shipment status and assisting with other inquiries
As a Senior Security Operations Engineer, you will be an integral part of Qualys SOC (Security Operation Center) and CSIRT (Cyber Security Incident Response Team) contributing to the day-to-day activities aimed at governing entire incident management lifecycle from incident monitoring, triaging, analyzing, and responding to security incidents. This role requires a solid understanding of security technologies, incident triage/investigation & incident response, and a proactive approach to identifying and mitigating potential threats. You will leverage advanced cybersecurity tools and techniques to monitor and secure Qualys infrastructure/systems, Qualys Cloud Platforms, respond to alerts, investigate potential threats, and proactively work for mitigation of identified cyber threats/incidents. At the same time, you will be responsible for providing expert guidance to other SOC engineers in the team and working closely with SOC/CSIRT leadership to improve the organization’s security posture.
NextJs (Next.js)
NodeJS (Node.js)
React.js
MongoDB
Express* Good knowledge of Node.js/ NextJS, Express.js, React and MongoDB
* Need a clear understanding of JavaScript and Typescript.
* Excellent grasp of data structures and designing and developing REST APIs.
* Good skills of either RDBMS (e.g. MySQL or PostgreSQL) or NoSQL (MongoDB or equivalent).
* Must have at least 3 years’ experience in MERN Stack development.
* Experience in developing responsive web applications.
* Good communication skills.
* Sound understanding of Agile and Scrum methodologies and ability to participate in local and remote Sprints.
* Good grasp of UI / UX concepts.
* Should have experience in using Git and VSCode.
* Knowledge of AWS, Azure, CI / CD, Gitflow, shell scripting will be considered positively.
JavaAbout Us
Rezo.ai is an AI-Powered Contact Center that enables enterprises to enhance customer experience and boost revenue by automating and analyzing customer agent interactions across multiple channels including voice, email, chat/WhatsApp, and social, at the required scale, whilst training agents with minimal costs
How do we do it
Rezo’s AI-Powered contact center leverages groundbreaking technologies in AI, ML, ASR, NLP, RPA, and predictive intelligence to transform customer experience and reduce costs by automating, and analyzing customer-agent conversations across multiple channels including voice, email, chat/Whatsapp, and social media, whilst coaching them.
What Makes You A Good Fit :
- You are passionate about technology and software development
- You are continuously experimenting and learning more
- You love solving problems and digging into complex problems
- You believe in taking decisions as close to the product and technical expertise as possible.
- You believe in creativity, trying new things and learning from your mistakes.
- You believe in sharing insights and helping one another to build an even better user plan.
Key Skills Required:
- 3-8 years of Experience in Java Product Development.
- Good understanding of MYSQL.
- Practitioner of clean code and SOLID principles
- Exposure to GIT and Maven
- Good verbal and written communication skills
- Understands different major language paradigms (Object Oriented and Functional)
- Understanding and Experience with Multi-Threaded Applications
- Prior Experience in a SAAS Product company is a Plus
- Experience with Managing Team is a plus
Educational Background:
- Bachelor's/Master’s degree in Computer Science Engineering from Tier 1 College is a Plus.
Why You Should Join Rezo.AI
- You will be surrounded by Passionate Team Members with Exposure to Product Building
- You will be learning About various Product Development Cycles
- Big Career Opportunities
- Learning by doing
- The Opportunity of Innovation
- Recognition
- Enhanced Responsibility and Team Management
Cultural fitment
Work at the heart of AI and customer engagement.
If you are fascinated by AI and looking to work with the latest AI technologies, in a fast growing and flexible work environment with immense growth opportunities, come and join us.
Rezo is the place to be if you want to work in an atmosphere where you can do meaningful research, contribute to the platform, and grow fast.
Culture/Values
We believe that allowing employees to pursue their interests and challenge the existing quo only helps to make Rezo a successful workplace. To that end, we are committed to assisting our employees in enhancing the skills that are vital to their professional growth.
FOCUS, INTEGRITY, TEAMWORK, PASSION, INNOVATION
Why Us?
We are a fast-paced start-up with some of the best talents from diverse backgrounds. Working together to solve customer service problems. We believe a diverse workforce is a powerful multiplier of innovation and growth, which is key to providing our clients with the best possible service and our employees with the best possible career. Diversity makes us smarter, more competitive, and more innovative.
Visit our website: https://rezo.ai/">https://rezo.ai/ for more information
NodeJS (Node.js)you will be;
* Developing services with TypeScript (with Node.js) in Lambda
* Assisting with the design and evolution of their DevOps tooling
* Building their Amazon Web Services environment
* Performance tuning and optimisation
* Continually developing your skillset as required to ensure that the best technologies and methods are used
* Maintaining focus on security
* Working within a truly Agile environment, participating in daily stand-up meetings
* Collaborating with the rest of the development team and business to meet objectives
Key Skills Required;
* TypeScript * JavaScript (ES6+) * Node.js * Amazon Web Services, in particular AWS Lambda, * Experience working within an Agile environment * Excellent communication skills, with the ability to work in partnership with both business and technology teams * Proactive and truly passionate about technology * Degree level education in Computer Science (or equivalent), or similar experience * Willingness to continually learn new languages
Team: US Recruiting
Division: Operations
Location Gurgaon / Noida
Role Overview
This is front line management role and candidate selected will be responsible for day-to-day successful operations of US IT Full Lifecycle Recruitment Team and individual performance targets. Your key responsibilities will be to meet process metrics as per defined service level agreements (SLAs) and quality standards. As leading face of team this role requires a self-motivated, excellent communicator and equally hands-on to mentor, coach and support team meeting process objectives and deliverables and meet and exceed performance.
Key Accountabilities
As a team leader, your primary role will be to provide high quality, consistent and effective support in a timely manner in one or more areas listed below:
• To research Internal and External job boards and other websites for suitable candidates based on keyword searches and, Google, Xray and other open sources
• Expertise in creating and amending Boolean search strings
• Candidate management: screening interview, assessment, interview co-ordination, taking and sharing feedback, negotiations, post offer candidate engagement, onboarding – co-ordinate with concerned stakeholder for smooth onboarding and pipeline readiness for offered positions
• Job management: timely, relevant and adequate numbers of profiles submissions, volume management and successful closure
• Stakeholder / client management: understanding requirements, challenges and recommend and support in filling positions
• Meeting self and team’s daily targets
• Identifying and allocating roles / work allocation to the team
• Monitoring and reporting on team and individual performance across the team.
• Meeting individual recruitment targets – sourcing and submittals
• Providing training / refresher sessions for the team members whenever required
• Sample quality audits on candidate profiles being shortlisted by the team before they are sent to the stakeholders / consultants
• Ensuring candidate information is updated efficiently and accurately on the system
• Manage the workload of a team & ensure work is completed as per defined priority & business SLAs
• Ensure adherence to process guides and SOPs to ensure smooth service delivery
• Responsible for organizing & delivering training and maintaining training manuals.
• Monitoring and reporting on team and individual performance across the team.
• Regularly report any issues and changes to business teams with solution approach
• Ensure client / business expectations are met at a minimum exceeded as the norm.
• Effective management & control of escalations / complaints/ conflicts and keeping line manager updated on real time basis
• Drive changes in process & implementing agreed plans and actions
• Look for opportunities for continuous process improvements
• Drive organizational initiatives to meet organizational goals
• Ensuring self and team adherence to requirements of Data Transfer Agreement and various other company policies and procedures.
• Manage access through JGL review
• Follow business updates from time to time
• Providing feedback to team members on their performance, productivity and code of conduct and overall performance management
• Manage operational queries from team, recommend solutions, escalate where necessary
• To support the successful transition of new offshore activities / work streams
• Engage with the stakeholders both on email and call for query resolution and discussions
• Respond to recommendations for improvement from the business on the quality of the candidates supplied.
• Provide support across all of the teams within the company , supporting other teams to improve their knowledge and processes
• Ensure awareness and understanding of dashboards / KPI’s / SLA’s performance
• Ensure the team meet and exceed SLAs at all times
• Ensure 100% accuracy of the work being delivered by the team following the agreed quality guidelines
• Ensure all activities are aligned to the company's brand values
Skills & Experience Must Have
• Overall 5+ years of experience in US IT full lifecycle recruitment including candidate, job and client / stakeholder management
• Minimum 2 year of experience as a Team Leader or similar role
• Hands-on experience of job boards like LinkedIn Recruiter, Monster, Dice, CareerBuilder etc.
• Sound knowledge of IT skills in the US Job Market – tax terms, work authorizations, work types etc.
• Expertise in preparing and using search strings and techniques (Boolean, Xray searches etc.)
• Experience in mentoring, coaching and sharing feedback
• MIS and Reporting with sound experience in MS Office (like Word, Power point Excel & Outlook)
• Excellent communication skills (written and verbal) – an extrovert with strong comprehension, articulation and presentation skills
• In-depth knowledge of performance metrics
• Experience with organizing training programs
• Sense of ownership and pride in your performance
• Critical thinker and problem-solving skills
• Eye for detail with strong planning, analytical, prioritization and multi-tasking skills
• Team player, self-motivated, proactive and energetic
• Good time-management skills
Javascript
DjangoReact.jsThey are solving the problem of advertisers and marketing agencies trying to reach out to rural villagers to increase market penetration of their products. The current method of posters, wall advertisements and billboards are static and doesn’t allow for targeted messaging. The team intend to roll out a network of low-cost interactive screens to these rural villagers.
We are looking for a Full Stack developer to develop the Frontend and backend for the advertisers portal. This is a new age platform connecting advertisers with villages through the smart advertisement boards.
NodeJS (Node.js)ExpressMongoDBAmazon Web Services (AWS)NAME OF THE ORGANIZATION:
Truminds Software Systems
LOCATION:
Gurgaon
POSITION TITLE
Backend Engineer
YEARS OF EXPERIENCE:
4--7 Yrs.
JOB DESCRIPTION:
Good programming experience on Nodejs, Express, promises, having developed production applications using these frameworks.
Should be able to architect and design the backend services without supervision
Interface and integration with Mysql or MongoDB databases
Deployment experience on AWS including understanding of Nginx, AWS services would be desirable
EDUCATIONAL QUALIFICATION:
• B.E./B.Tech. in Computer Science/ IT or MCA would be preferred.
• Excellent oral and written communication skills
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